How to Resolve the MySQLi 'Commands Out of Sync' Error?

"Commands Out of Sync" Error in MySQLi: A Comprehensive Explanation

MySQLi throws the "Commands out of sync" error when a new query is attempted while there are still unread rows from a previous query.

Reason for the Error

The MySQL client protocol requires that all results from a query be fetched before a new query can be executed. This ensures consistency in handling result sets and prevents data loss.

Solutions

mysqli_store_result() or mysqli_result::fetch_all():

Prefetch all the rows from the outer query using mysqli_store_result() or fetch the entire result set as an array using mysqli_result::fetch_all(). This buffers the results in the client, allowing multiple queries to be executed.

Stored Procedures and mysqli_multi_query():

Stored procedures can return multiple result sets. To handle this, use mysqli_multi_query() and iterate through the results using mysqli_next_result() until all result sets are processed.

Code Snippet

Here's a modified version of the code from the question, using mysqli_store_result():

$result = mysqli_query($db, $sql) or exit(mysqli_error($db));

if ($result) {
    $result->store_result(); // Buffer the result set
    echo "

"; while ($row = mysqli_fetch_assoc($result)) { $aid = $row["id"]; $sql2 = "SELECT * FROM members WHERE MEMNO = '$aid'"; $result2 = mysqli_query($db, $sql2) or exit(mysqli_error($db)); if ($result = mysqli_fetch_assoc($result2)) { $fname = $ newArray['FNAME']; $lname = $newArray['LNAME']; $mi = $newArray['MI']; $address = $newArray['ADDRESS']; $city = $newArray['CITY']; $state = $newArray['STATE']; $zip = $newArray['ZIP']; $kdate = $newArray['KDATE']; $date = abs(strtotime(date('m/d/Y')) - strtotime(date($kdate))) / (60 * 60 * 24); } echo sprintf("", $row["id"],$row["name"], $row["parent_id"],$row["parent_name"], $row["level"],$row["email"]); } echo "

id	name	parent_id	parent_name	level	email
%s	%s	%s	%s	%s	%s

"; } mysqli_free_result($result); mysqli_close($db);

Possible Design Improvement

Storing hierarchical data in a relational database can lead to complex queries. Consider using alternative models, such as nested sets or adjacency lists, to simplify data storage and retrieval.

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